I'm trying to create a calculated member in SSAS that will give me this below:
I want to create a new measure "AdjustedQuantity" that is basically the Length * Quantity (normalized to 30). Both Length and Quantity are in the same fact table.
See image below. example: if length is 15, the quantity should be halved, since 15 is half of 30. if length is 60, quantity should be doubled, etc. The AdjustedQuantity field is what I want, but my results (shown in "MyAttempt_WRONG" column) don't give me the correct totals. Note I also have [Length] as a dimension.
Note: Length can be 30, 60, 15, 45, others.
CREATE MEMBER CURRENTCUBE.[Measures].[MyMeasure]
AS [Measures].[Quantity] * ([Measures].[Length]/30),
The solution which will perform best is to add a column to the DSV which is:
Quantity * Length/30
Then create a Sum measure on that column.
If you must do it in MDX despite worse performance that the above try:
CREATE MEMBER CURRENTCUBE.[Measures].[MyMeasure]
AS SUM(
EXISTING [Your Length Dimension].[Length].[Length].Members,
[Measures].[Quantity] * (Your Length Dimension].[Length].CurrentMember.Member_Key/30)
);
Basically you need to do the multiplication per Length the sum up from there. Member_Key assumes the Length dimension attribute key is the integer representation of the Length.
Related
I have a number for example 1550,I need to get thousands and units from this number.
To extract thousand I am using the following formula:
Select TRUNC(1550/1000) FROM DUAL
I will get 1, now I need to get 550 from the above number.
What will be the best formula to get the remaining units from the amount, please also consider that the amount can be 550, 12501, 50, etc.
Thanks.
You are looking for the mod() function:
select mod(1550, 1000)
The specific operation is called the modulus, and it calculates the remainder. This can be a little tricky if you have negative numbers. Do you want mod(-1, 5) to be -1 or 4?
Depending on what you want, you can also calculate the value directly:
select 1550 - floor(1550/1000)*1000
I'm trying to rank (A,B,C) a list of customers according to their profitability , which is calculated as the amount of each sale multiplied by the product profitability (each product has a profitability value assigned). Hence, Profit = SaleAmount*ProductProfitability
To rank every customer, I have a pivot table with the customer id (CustID) as dimension and two expressions:
1)
= SaleAmount*ProductProfitability
2) = if(SaleAmount*ProductProfitability > $(vPercentile75Profit),'A', if(SaleAmount*ProductProfitability > $(vPercentil25Profit),'B','C'))
Expression 2) works correctly if I fix the values of vPercentile75Profit and vPercentile25Profit, but obviously I need this to be dynamic.
For that I've defined those variables as (same for both, just switching 0.75 with 0.25):
vPercentile75Profit =Fractile(aggr(sum({$<ProductProfitability = {'>0'} >} SaleAmount*ProductProfitability/100),CustID), 0.75)
If I understand well, this calculates a list of each customer profitability and then performs the 75 percentile of that list (which is a single value). This works great if I show the value in a Text box for example, however, if I use it in my table, it takes a different percentile for each customer (since CustID is in the dimension).
How can I bypass this? The percentiles must be the same for each customer, but I cannot find the way.
Thanks in advance, any help will be greatly appreciated!
Nothing works better to find the answer than asking your question to others. It was as simple as adding TOTAL to the variable definition:
vPercentile75Profit =Fractile(TOTAL aggr(sum({$<ProductProfitability = {'>0'} >} SaleAmount*ProductProfitability/100),CustID), 0.75)
I am trying to calculate percentile (for example 90th percentile point of my measure) in a cube and I think I am almost there. The problem I am facing is, I am able to return the row number of the 90th percentile, but do not know how to get my measure.
With
Member [Measures].[cnt] as
Count(NonEmpty(
-- dimensions to find percentile on (the same should be repeated again
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members
,
-- add the measure to group
[Measures].[Profit]))
-- define percentile
Member [Measures].[Percentile] as 90
Member [Measures].[PercentileInt] as Int((([Measures].[cnt]) * [Measures].[Percentile]) / 100)
**-- this part finds the tuple from the set based on the index of the percentile point and I am using the item(index) to get the necessary info from tuple and I am unable to get the measure part
Member [Measures].[PercentileLo] as
(
Order(
NonEmpty(
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members,
[Measures].[Profit]),
[Measures].[Profit].Value, BDESC)).Item([Measures].[PercentileInt]).Item(3)**
select
{
[Measures].[cnt],
[Measures].[Percentile],[Measures].[PercentileInt],
[Measures].[PercentileLo],
[Measures].[Profit]
}
on 0
from
[TestData]
I think there must a way to get measure of a tuple found through index of a set. Please help, let me know if you need any more information. Thanks!
You should extract the tuple at position [Measures].[PercentileInt] from your set and add the measure to it to build a tuple of four elements. Then you want to return its value as the measure PercentileLo, i. e. define
Member [Measures].[PercentileLo] as
(
[Measures].[Profit],
Order(
NonEmpty(
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members,
[Measures].[Profit]),
[Measures].[Profit], BDESC)).Item([Measures].[PercentileInt])
)
The way you implemented it, you tried to extract the fourth (as Item() starts counting from zero) item from a tuple containing only three elements. Your ordered set only has three hierarchies.
Just another unrelated remark: I think you should avoid using complete hierarchies for [Calendar].[Hierarchy].members, [Region Dim].[Region].members, and [Product Dim].[Product].members. Your code looks like you are including all levels (including the all member) in the calculation. But I do not know the structure and names of your cube, hence I may be wrong with this.
An alternate method could be to find the median of the last 20% of the records in the table. I've used this combination of functions to find the 75th percentile. By dividing the record count by 5, you can use the TopCount function to return a set of tuples that make up 20% of the whole table sorted in descending order by your target measure. The median function should then land you at the correct 90th percentile value without having to find the record's coordinates. In my own use, I use the same measure for the last parameter in both the Median and TopCount functions.
Here's my code:
WITH MEMBER Measures.[90th Percentile] AS MEDIAN(
TOPCOUNT(
[set definition]
,Measures.[Fact Table Record Count] / 5
,Measures.[Value by which to sort the set so the first 20% of records are chosen]
)
,Measures.[Value from which the median should be determined]
)
Based on what you've supplied in your problem definition, I would expect your code to look something like this:
WITH MEMBER Measures.[90th Percentile] AS MEDIAN(
TOPCOUNT(
{
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members
}
,Measures.[Fact Table Record Count] / 5
,[Measures].[Profit]
)
,[Measures].[Profit]
)
I am given a task to calculate the frequency of calls across a territory. If the rep called a physician regarding the sale of the product 5 times, then frequency is 5 and HCP count is 1....I generated frequencies from 1 to 124 in my pivot table using a calculated dimension which is working fine. But my concern is :
My manager wants frequencies till 19 in order from 1..2..3..4...5..6.....19...
And from the frequency 21-124 as 20+.
I would be grateful if someone helps me with this.....Eager for the reply....
Use the Class function in the dimension, to split into buckets:
=class(CallId,5)
And the expression:
=count(Distinct CallId)
You can then customize the output by adding parameters:
class( var,10 ) with var = 23 returns '20<=x<30'
class( var,5,'value' ) with var = 23 returns '20<= value <25'
class( var,10,'x',5 ) with var = 23 returns '15<=x<25'
I think you can do this with a calculated dimension.
If your data has one row per physician coming from the load statement below will likely work.
Dimension
- =IF(CallCount<=19,CallCount,'+20')
Expression
- =COUNT(DISTINCT Physician_ID)
Sort
- Numeric Value Ascending
If your data has to be aggregated, more than one call row per provider incoming from the load try above substituting below for the Dimension.
Dimension
- =IF(AGGR(SUM(CallCount), Physician_ID) <=19,AGGR(SUM(CallCount), Physician_ID),'+20')
Being an SSAS newbie, I was wondering if it's possible to create a calculated member that references an individual row's value as well as the aggregated value in order to create a percentage?
For example, if I have a fact table with ValueA, I'd like to create a calculate member that essentially performed:
[Measures].[ValueA] (for each row I've sliced the data by) / [Measures].[ValueA] (the total)
Also I'd like to keep the total as the sum of whatever's been filtered in the cube browser. I feel certain this must be possible but I'm clearly missing something.
You can use the Axis function. Her is an example:
WITH MEMBER [Measures].[Percentage] AS
[Measures].[ValueA] / (Axis(1).CurrenMember.Parent, [Measures].[ValueA])
SELECT {[Measures].[ValueA], [Measures].[Percentage]} ON 0,
'what you want' ON 1
FROM your cube
(You may need to add check in the calculated member expression)